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Optimization Software Product List

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High performance and longevity of turbo machinery through retrofit optimization.

High performance and longevity of turbo machinery through retrofit optimization.

Notice of Webinar on June 22, 2021 (Tuesday) at 11 PM! You can learn how to use optimization tools.

The aging of machinery is a challenge for engineers. To maximize the lifespan of turbo machinery, minimize losses, and apply new technologies, upgrading flow paths through CFD simulation, optimizing blades, and designing seal leaks are very effective measures. Cadence Design Systems and Concepts NREC provide all the necessary tools to design extremely complex shapes and analyze them with high precision to optimize performance within constraints. In a 30-minute webinar, you can learn how to operate AxCent, OMNIS/Turbo, and the optimization kernel Minamo. [Content] ■ Calculate and analyze the performance of steam turbines ■ Generate parametric models with AxCent ■ Redesign turbines with new blades, flow paths, and seals through optimization *For more details, please refer to the related link page or feel free to contact us.

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  • Technical Seminar

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[Case Study] Optimization of Ship Shape (2) 'AIPOD'

[Case Study] Optimization of Ship Shape (2) 'AIPOD'

A case that demonstrates the ability to appropriately support the discovery of efficient design areas that had been excluded from consideration!

We would like to introduce a case study on the optimization of ship shapes (2) using our intelligent optimization software "AIPOD." This software is designed to be very user-friendly, even for those who are just starting with optimization. We conducted optimization calculations targeting eight design variables, with the objective function being the minimum resistance coefficient, two constraint conditions, and a CFD calculation of 100 cases. The optimization calculation with 83 cases achieved a performance improvement of 4.68%, surpassing the 4.13% of competing software. [Case Overview] - By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. - It can appropriately support the discovery of efficient design areas that were previously considered outside the scope of consideration. *For more details, please download the PDF or feel free to contact us.

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  • Other Software

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[Case Study] Optimization of Ship Shape (1) 'AIPOD'

[Case Study] Optimization of Ship Shape (1) 'AIPOD'

Achieved a 5.01% performance improvement through optimization calculations! This result surpasses the 3.36% of competing software.

We would like to introduce a case study on the optimization of ship shapes using our intelligent optimization software "AIPOD." This software is designed to achieve maximum optimization efficiency. An optimization calculation was performed targeting six design variables, with the objective function being the minimum resistance coefficient and two constraint conditions, using 64 CFD cases. The optimization calculation with 64 cases achieved a performance improvement of 5.01%, surpassing the 3.36% of competing software. 【Case Overview】 ■ By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. ■ AIPOD quickly breaks through artificially created optimization barriers to reach the ideal optimal candidate solution. *For more details, please download the PDF or feel free to contact us.

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  • Other Software

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[Case Study] Optimization of Entrance Shape 'AIPOD'

[Case Study] Optimization of Entrance Shape 'AIPOD'

During the optimization process, by turning on the Bound-break feature, you can achieve optimization results that exceed expectations!

We would like to introduce a case study on the optimization of inlet shapes using our intelligent optimization software "AIPOD." This software allows for the visual construction of the calculation process through its graphical definition features. Focusing on five design variables, the objective function aimed at minimizing the weighted outlet total pressure/velocity non-uniformity, with optimization calculations conducted over 60 cases. The optimization calculations achieved a performance improvement of 54.89%, surpassing the 52.34% of competing software. [Case Overview] - By turning on the Bound-break feature during the optimization process of AIPOD, optimization results exceeding expectations were obtained. - When comparing the optimization progress of AIPOD with that of competing software, although the competing algorithm initially outperformed AIPOD, its local performance declined thereafter, with no further improvements observed. *For more details, please download the PDF or feel free to contact us.

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[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

Achieved a performance improvement of 52.31%, surpassing the 49.36% of competing software!

We would like to introduce a case study on the optimization of the hub shape of a diagonal flow fan using our intelligent optimization software "AIPOD." This software efficiently finds superior design solutions for structural, thermal fluid, acoustic, and multiphysics coupling problems. We conducted optimization calculations targeting 14 design variables, with the objective function being the maximum pressure difference at the inlet and outlet, and one constraint condition, using 150 CFD calculation cases. The optimization calculations resulted in a performance improvement of 52.31%, surpassing the 49.36% achieved by competing software. [Case Overview] - By enabling the Bound-break function during the AIPOD optimization process, we obtained optimization results that exceeded expectations. - Although competing software was able to capture efficient design areas for several design variables, it was limited to exploring only within that range due to constraints, preventing the discovery of further optimal candidate solutions. *For more details, please download the PDF or feel free to contact us.

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